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径向道域变步长采样叠前非稳态反褶积处理方法研究(英文).docx

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径向道域变步长采样叠前非稳态反褶积处理方法研究(英文) Title:ResearchonRadialTrajectoryDomainVariableStepSamplingPre-stackNon-stationaryDeconvolutionProcessingMethod Abstract: Theradialtrajectorydomainvariablestepsamplingpre-stacknon-stationarydeconvolutionprocessingmethodisanovelapproachforenhancingseismicdataqualityinthepresenceofcomplexsubsurfacestructures.Thisstudyaimstoanalyzethekeycharacteristicsandadvantagesofthismethodandprovideacomprehensiveunderstandingofitsapplicationinseismicdataprocessing. Introduction: Seismicdataplaysavitalroleintheexplorationandproductionofhydrocarbonreserves.However,accuratelyinterpretingthisdatacanbechallenging,especiallyinthepresenceofcomplexsubsurfacestructuressuchasfaultsandsaltdomes.Conventionaldeconvolutionalgorithmsoftenfailtoaddressthenon-stationarynatureofseismicdataintheseareas.Therefore,thedevelopmentofmoreadvancedprocessingmethodsiscrucialforimprovingseismicimagingaccuracyandenhancingtheabilitytodelineatereservoirtargets. Methodology: Theradialtrajectorydomainvariablestepsamplingpre-stacknon-stationarydeconvolutionprocessingmethodisbasedontheconceptofnon-stationaryconvolutionandtheRadontransform.Inthisapproach,seismicdataistransformedfromthetimedomaintotheradialtrajectorydomain,allowingforbetterrepresentationofnon-stationarycharacteristics.Variablestepsamplingisthenappliedtocapturethevaryingattributesofseismicwaveforms,ensuringmoreaccuratedeconvolutionresults. ResultsandDiscussion: Theanalysisofseismicdataprocessedusingtheproposedmethoddemonstratessignificantimprovementsinimagingquality,especiallyinareaswithcomplexsubsurfacestructures.Thevariablestepsamplingtechniqueeffectivelycapturesthevariationsinseismicwaveforms,allowingforbetterestimationandremovalofthenon-stationaryeffects.Consequently,thebandwidthofseismicdataisconsiderablyenhanced,leadingtosharperreflectionsandimprovedresolution. Furthermore,theuseofradialtrajectorydomainrepresentationprovidesamoreaccuratedescriptionofthenon-stationarynatureofseismicdata.Thisallowsforbetterseparationofprim